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Hybrid deep learning framework for brain tumor type, grade, and segmentation in MRI images (2025)
Thesis
Suliman Farhan, A. (2025). Hybrid deep learning framework for brain tumor type, grade, and segmentation in MRI images. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5292329

Brain tumours are a critical global health challenge, accounting for 85-90% of all primary central nervous system tumours, with an estimated 308,102 new cases globally in 2020. These tumours often lead to severe physical and cognitive impacts on pati... Read More about Hybrid deep learning framework for brain tumor type, grade, and segmentation in MRI images.

Azithromycin, Oesophageal Function, and Cough in Chronic Respiratory Disease (2025)
Thesis
Sykes, D. (2025). Azithromycin, Oesophageal Function, and Cough in Chronic Respiratory Disease. (Thesis). University of Hull and University of York. https://hull-repository.worktribe.com/output/5287949

Chronic cough is a disabling feature of many chronic respiratory diseases and is now recognised as a distinct disease. Despite being amongst the commonest causes for healthcare contact, there are no licenced treatments for chronic cough in the UK. Th... Read More about Azithromycin, Oesophageal Function, and Cough in Chronic Respiratory Disease.

From Coroners’ Rolls to the Classroom: Engaging Students with the Medieval Murder Map (2025)
Digital Artefact
Brown, S. (2025). From Coroners’ Rolls to the Classroom: Engaging Students with the Medieval Murder Map. [https://socialhistory.org.uk/shs_exchange/engaging-students-with-the-medieval-murder-map/]

The Medieval Murder Map is an innovative digital humanities project that visualises homicides drawn from the coroners’ rolls of three English towns: London, York, and Oxford. Entries of homicide cases from the coroners’ rolls have been translated and... Read More about From Coroners’ Rolls to the Classroom: Engaging Students with the Medieval Murder Map.

CRISPR screens and quantitative proteomics reveal remodeling of the aryl hydrocarbon receptor–driven proteome through PARP7 activity (2025)
Journal Article
Gorelik, A., Paulo, J. A., Schroeter, C. B., Lad, M., Shurr, A., Mastrokalou, C., Siddiqi, S., Suyari, O., Brognard, J., Walter, D., Matthews, J., Palmer, T. M., Gygi, S. P., & Ahel, I. (2025). CRISPR screens and quantitative proteomics reveal remodeling of the aryl hydrocarbon receptor–driven proteome through PARP7 activity. Proceedings of the National Academy of Sciences of the United States of America, 122(24), Article e2424985122. https://doi.org/10.1073/pnas.2424985122

PARP7 is an enzyme that uses donor substrate NAD+ to attach a single ADP-ribose moiety onto proteins related to immunity, transcription, and cell growth and motility. Despite the importance of PARP7 in these processes, PARP7 signaling networks remain... Read More about CRISPR screens and quantitative proteomics reveal remodeling of the aryl hydrocarbon receptor–driven proteome through PARP7 activity.

Widespread genetic signals of visual system adaptation in deepwater cichlid fishes (2025)
Journal Article
Camacho García, J. I., Malinsky, M., Joyce, D. A., Santos, M. E., Vernaz, G., Ngochera, M. J., & Svardal, H. (2025). Widespread genetic signals of visual system adaptation in deepwater cichlid fishes. Molecular biology and evolution, 42(7), Article msaf147. https://doi.org/10.1093/molbev/msaf147

The light environment exerts a profound selection pressure on the visual system, driving morphological and molecular adaptations that may also contribute to species diversification. Here, we investigate the evolution and genetic basis of visual syste... Read More about Widespread genetic signals of visual system adaptation in deepwater cichlid fishes.

The First Large Absorption Survey in H i (FLASH): II. Pilot Survey data release and first results (2025)
Journal Article
Yoon, H., Sadler, E. M., Mahony, E. K., Aditya, J. N. H. S., Allison, J. R., Glowacki, M., Kerrison, E. F., Moss, V. A., Su, R., Weng, S., Whiting, M., Wong, O. I., Callingham, J. R., Curran, S. J., Darling, J., Edge, A. C., Ellison, S. L., Emig, K. L., Garratt-Smithson, L., German, G., …Westmeier, T. (2025). The First Large Absorption Survey in H i (FLASH): II. Pilot Survey data release and first results. Publications of the Astronomical Society of Australia, 42, Article e088. https://doi.org/10.1017/pasa.2025.10046

The First Large Absorption Survey in H I (FLASH) is a large-area radio survey for neutral hydrogen in and around galaxies in the intermediate redshift range 0.4 < z < 1.0, using the 21-cm H I absorption line as a probe of cold neutral gas. The survey... Read More about The First Large Absorption Survey in H i (FLASH): II. Pilot Survey data release and first results.

NatureScot Research Report 1207 - Assessing the implications of wrasse fishing for marine sites and features (2025)
Report
Burns, N. M., Bailey, D. M., & Hopkins, C. (2025). NatureScot Research Report 1207 - Assessing the implications of wrasse fishing for marine sites and features. NatureScot

Background
Concerns with chemical treatments for the control of sea lice affecting farmed salmon have prompted the Scottish salmon aquaculture industry to increasingly use cleaner fish - wrasse species (Labridae) and lumpsuckers (Cyclopterus lumpus)... Read More about NatureScot Research Report 1207 - Assessing the implications of wrasse fishing for marine sites and features.

Machine learning-based predictive modelling of renewable energy adoption in developing countries (2025)
Journal Article
Ossai, W., & Fagbola, T. M. (2025). Machine learning-based predictive modelling of renewable energy adoption in developing countries. Energy Reports, 14, 66-84. https://doi.org/10.1016/j.egyr.2025.05.066

This study explores global renewable energy trends in alignment with the 2030 Sustainable Development Goals. Employing and fine-tuning the ExtraTreesRegressor, models were developed to predict adoption levels of electricity from solar, wind, hydro, a... Read More about Machine learning-based predictive modelling of renewable energy adoption in developing countries.

Spatial dynamics of homicide in medieval English cities: the Medieval Murder Map project (2025)
Journal Article
Eisner, M., Brown, S. E., Eisner, N., & Eisner, R. S. (2025). Spatial dynamics of homicide in medieval English cities: the Medieval Murder Map project. Criminal Law Forum, https://doi.org/10.1007/s10609-025-09512-7

This study examines the spatial patterns of homicide in three 14th-century English cities—London, York, and Oxford—through the Medieval Murder Map project, which visualizes 355 homicide cases derived from coroners’ inquests. Integrating historical cr... Read More about Spatial dynamics of homicide in medieval English cities: the Medieval Murder Map project.

Mental Health Nurse's Use of Self in Carceral Psychiatry (2025)
Presentation / Conference Contribution
Craven, R. (2025, June). Mental Health Nurse's Use of Self in Carceral Psychiatry. Presented at Exploring the Carceral, University of Hull

Psychiatric wards can be described as carceral spaces – areas of control, surveillance and containment. This raises critical questions about the therapeutic practice in these environments. This presentation draws on doctoral research exploring how me... Read More about Mental Health Nurse's Use of Self in Carceral Psychiatry.

Parents’ experiences of the financial and employment impacts of their child receiving end-of-life care: a national qualitative study (2025)
Journal Article
Barrett, L., Peat, G., McLorie, E. V., Weatherly, H., Hinde, S., Walker, G. L., Noyes, J., Oddie, S., Vasudevan, C., Feltbower, R. G., Phillips, B., Hewitt, C., Hain, R., Subramanian, G., Haynes, A., Murtagh, F. E., Hackett, J., & Fraser, L. K. (2025). Parents’ experiences of the financial and employment impacts of their child receiving end-of-life care: a national qualitative study. BMC Palliative Care, 24(1), Article 157. https://doi.org/10.1186/s12904-025-01796-1

Background: Bereaved parents are at higher risk of poor mental and physical health outcomes than people bereaved under other circumstances. These challenges are exacerbated by the continued effects on parents’ working lives and the financial strain o... Read More about Parents’ experiences of the financial and employment impacts of their child receiving end-of-life care: a national qualitative study.

Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs (2025)
Journal Article
Abidoye, I., Ikeji, F., Coupland, C. A., Calaminus, S. D. J., Sander, N., & Sousa, E. (2025). Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs. Journal of Imaging, 11(6), 183. https://doi.org/10.3390/jimaging11060183

Platelets play a crucial role in diagnosing and detecting various diseases, influencing the progression of conditions and guiding treatment options. Accurate identification and classification of platelets are essential for these purposes. The present... Read More about Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs.

A step change in education: Generative AI, Ethics and Transformation for Higher Education (2025)
Book Chapter
Gordon, N., Dixon, J., & Mian, Z. (2025). A step change in education: Generative AI, Ethics and Transformation for Higher Education. In M. A. Doolan, & L. Ritchie (Eds.), Transforming Teaching Excellence: Future Proofing Education for All. International Federation of National Teaching Fellows

Generative AI systems such as ChatGPT, Gemini and Llama, are transforming higher education by introducing opportunities for enhanced learning and personalised education. These systems are disrupting traditional pedagogical approaches while presenting... Read More about A step change in education: Generative AI, Ethics and Transformation for Higher Education.

A Computational Approach to Modelling Molecular Biosignatures (2025)
Thesis
Cross, T. M. (2025). A Computational Approach to Modelling Molecular Biosignatures. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5292460

This thesis presents a new computational method to model molecular biosignatures, using quantum chemistry techniques. To begin complimenting high resolution studies such as JWST, the fundamental vibrational band (ν = 0 → 1) has been selected to model... Read More about A Computational Approach to Modelling Molecular Biosignatures.

Lab on Chip Microfluidic Buried Channel Architectures for Cell Sorting Applications (2025)
Thesis
Dabeer, A. (2025). Lab on Chip Microfluidic Buried Channel Architectures for Cell Sorting Applications. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5292322

Microfluidics is a fascinating field of science that deals with manipulating small amounts of fluids and particles on the microscale. It has a wide range of applications, from microbiology to microelectronics. Microfluidic devices separate or mix mic... Read More about Lab on Chip Microfluidic Buried Channel Architectures for Cell Sorting Applications.

Advancements of Large Language Models for Enhancing Carbon Capture Technologies: A Comprehensive Review (2025)
Journal Article
Xue, Y., Liu, M., Wang, K., Yang, Y., Cheng, Y., Ma, X., & Qiao, Y. (2025). Advancements of Large Language Models for Enhancing Carbon Capture Technologies: A Comprehensive Review. CHAIN, 2(2), 131-147. https://doi.org/10.23919/chain.2025.000010

This paper reviews the current research status, challenges, and prospects of applying large language models (LLMs) in carbon capture technologies. The review emphasizes the importance of interdisciplinary research, integrating AI into chemistry, engi... Read More about Advancements of Large Language Models for Enhancing Carbon Capture Technologies: A Comprehensive Review.

The impacts of specific place visitations on theft patterns: a case study in Greater London, UK (2025)
Journal Article
Chen, T., Bowers, K., & Cheng, T. (in press). The impacts of specific place visitations on theft patterns: a case study in Greater London, UK. Computational Urban Science, 5(1), Article 30. https://doi.org/10.1007/s43762-025-00191-z

Exploring the impacts of population place visitation on crime patterns is crucial for understanding crime mechanisms and optimising resource allocation in crime prevention. While recent studies have broadly examined dynamic population activities at s... Read More about The impacts of specific place visitations on theft patterns: a case study in Greater London, UK.

The ethics of travel: how can computing help to ensure transport is safe, sustainable and acceptable? (2025)
Journal Article
Gordon, N., Akindele, T., & Morel, P. (2025). The ethics of travel: how can computing help to ensure transport is safe, sustainable and acceptable?. Itnow, 67(2), 14-15. https://doi.org/10.1093/itnow/bwaf039

Transport is key to modern life – we travel for work, we depend on the transport industry to move food, resources and products. We travel for family and for leisure. In countries like the UK, we spend significant time and resource on travel. Computin... Read More about The ethics of travel: how can computing help to ensure transport is safe, sustainable and acceptable?.